Evidence map›Paper›PMID 38769356›Full record

ArticleScientific reports2024

Novel inflammatory and insulin resistance indices provide a clue in cerebral amyloid angiopathy.

Hang-Hang Zhu, Yun-Chao Wang, Liu-Chang He, Hai-Yang Luo, Ce Zong, Ying-Hao Yang, Jing-Hao Wu, Bo Song, Yuan Gao, Yu-Ming Xu and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hang-Hang Zhu *Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yun-Chao Wang *Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Liu-Chang HeDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Hai-Yang LuoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ce ZongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ying-Hao YangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jing-Hao WuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bo SongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuan GaoDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yu-Ming XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. xuyuming@zzu.edu.cn.
Yu-Sheng LiDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. fccliyusheng@zzu.edu.cn.

Funding

major project co-constructed by the Ministry of Medical Science and Technology in Henan Province SBGJ202101016the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2020-PT310-01
6 · The paper itself

Abstract

This study investigated the correlation of newly identified inflammatory and insulin resistance indices with cerebral amyloid angiopathy (CAA), and explored their potential to differentiate CAA from hypertensive arteriopathy (HA). We retrospectively analyzed 514 consecutive patients with cerebral small vessel disease (CSVD)-related haemorrhage, comparing the differences in novel inflammatory and insulin resistance indices between patients with CAA and HA. Univariate regression, LASSO and multivariate regression were used to screen variables and construct a classification diagnosis nomogram. Additionally, these biomarkers were explored in patients with mixed haemorrhagic CSVD. Inflammatory indices were higher in CAA patients, whereas insulin resistance indices were higher in HA patients. Further analysis identified neutrophil-to-lymphocyte ratio (NLR, OR 1.17, 95% CI 1.07-1.30, P < 0.001), and triglyceride-glucose index (TyG, OR = 0.56, 95% CI 0.36-0.83, P = 0.005) as independent factors for CAA. Therefore, we constructed a CAA prediction nomogram without haemorrhagic imaging markers. The nomogram yielded an area under the curve (AUC) of 0.811 (95% CI 0.764-0.865) in the training set and 0.830 (95% CI 0.718-0.887) in the test set, indicating an ability to identify high-risk CAA patients. These results show that CSVD patients can be phenotyped using novel inflammatory and insulin resistance indices, potentially allowing identification of high-risk CAA patients without haemorrhagic imaging markers.

Indexed as

BiomarkersCerebral Amyloid AngiopathyInflammationInsulin ResistanceAgedCerebral Small Vessel DiseasesFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsNomogramsRetrospective StudiesTriglyceridesBiomarkersTriglyceridesCerebral amyloid angiopathyCerebral small vessel diseaseHypertensive arteriopathyInflammationNeutrophil–lymphocyte ratioTriglyceride–glucose index

Identifiers

PMID38769356
PMCPMC11106308

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